Ecological effects of farmland landscape composition on predator populations during the maize seedling stage

doi:10.7679/j.issn.2095-1353.2020.01.009

Abstract

Abstract:

[Objectives] Understanding the ecological effects of regional landscape composition on the natural predators of maize pests during the maize seedling stage could provide a theoretical basis for the ecological control of pests in maize field. [Methods] Research was conducted at 92 sample points in corn fields in Shandong province. Based on population dynamics, remote sensing imaging and land cover classification data, we used a mixed effects model to analyze the effects of cropland, residential industrial traffic, grassland, forest and water, on predator populations during the maize seedling. [Results] A total number of 3 744 predatory species were identified, of which the most abundant were Erigonidium graminicolum (55.29%), Propylaea japonica (25.32%), Orius similis (6.73%), Theridion octomaculatum (4.01%), Harmonia axyridis (3.58%) and Misumenops tricuspidatus (3.47%). Forest and water habitat had a significant positive effect on the abundance of Propylaea japonica, and grassland and water habitat had a significant positive effect on the abundance of Misumenops tricuspidatus. Water and forest habitat had a significant positive effect on the overall number of predatory species. [Conclusion] Non-crop habitat plays a crucial role in maintaining populations of the natural predators of maize pests during the maize seedling stage in the north China farmland landscape.

Key words: landscape composition, maize seedling stage, predators, population quantity

Qing-Qing ZHANG, Chao LI, Li-Li LI, Fang OUYANG, Ying-Ying SONG, Zeng-Bin LU, Song DONG, Yi YU, Xing-Yuan MEN. Ecological effects of farmland landscape composition on predator populations during the maize seedling stage[J]. Chinese Journal of Applied Entomology, 2020, 57(1): 80-87.

Figures/Tables 5

References 18

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尺度Scale	斑块类型Patch type	估计值Estimate	标准误差SE	自由度df	t值t value	P值Pr(>\|t\|)
5 km	草地 Grassland	3.951	2.215	79.512	1.784	0.078 3
	居住工业交通 Urban	3.683	2.147	79.318	1.784	0.090 3
	耕地 Cropland	3.849	2.151	79.418	1.790	0.077 3
	林地 Forest	4.278	2.168	78.823	2.028	0.047 5*
	水体 Water	4.507	2.191	79.953	2.057	0.043 0*

尺度Scale	斑块类型Patch type	估计值Estimate	标准误差SE	自由度df	t值t value	P值Pr(>\|t\|)
5 km	草地 Grassland	3.951	2.215	79.512	1.784	0.078 3
	居住工业交通 Urban	3.683	2.147	79.318	1.784	0.090 3
	耕地 Cropland	3.849	2.151	79.418	1.790	0.077 3
	林地 Forest	4.278	2.168	78.823	2.028	0.047 5*
	水体 Water	4.507	2.191	79.953	2.057	0.043 0*

尺度Scale	斑块类型Patch type	估计值Estimate	标准误差SE	自由度df	t值t value	P值Pr(>\|t\|)
4 km	草地 Grassland	0.381 1	0.184 4	78.972 0	2.067	0.042*
	居住工业交通 Urban	0.276 5	0.167 4	77.965 8	1.652	0.103
	耕地 Cropland	0.275 3	0.168 8	78.124 8	1.631	0.107
	林地 Forest	0.207 8	0.184 2	77.402 6	1.128	0.263
	水体 Water	0.279 4	0.184 6	78.400 9	1.514	0.134
3 km	草地 Grassland	0.343 0	0.164 4	79.426 7	2.086	0.040 2*
	居住工业交通 Urban	0.251 9	0.146 4	78.471 5	1.721	0.089 2
	耕地 Cropland	0.246 4	0.147 5	78.569 2	1.670	0.098 8
	林地 Forest	0.185 7	0.160 7	77.988 6	1.156	0.251 2
	水体 Water	0.281 6	0.165 7	79.172 5	1.699	0.093 2
2 km	草地 Grassland	0.235 9	0.139 3	79.422 6	1.693	0.094 3
	居住工业交通 Urban	0.179 4	0.127 7	78.302 7	1.405	0.164 1
	耕地 Cropland	0.175 2	0.127 9	78.244 8	1.370	0.174 7
	林地 Forest	0.134 7	0.141 6	77.857 1	0.952	0.344 3
	水体 Water	0.324 6	0.159 2	80.858 1	2.040	0.044 7*
1 km	草地 Grassland	0.098 1	0.103 5	79.772 3	0.948	0.346 1
	居住工业交通 Urban	0.097 1	0.091 7	79.092 9	1.060	0.292 5
	耕地 Cropland	0.092 3	0.091 0	78.718 3	1.015	0.313 3
	林地 Forest	0.054 7	0.121 4	80.006 2	0.450	0.653 8
	水体 Water	0.262 3	0.112 7	81.581 7	2.328	0.022 4*

尺度Scale	斑块类型Patch type	估计值Estimate	标准误差SE	自由度df	t值t value	P值Pr(>\|t\|)
4 km	草地 Grassland	0.381 1	0.184 4	78.972 0	2.067	0.042*
	居住工业交通 Urban	0.276 5	0.167 4	77.965 8	1.652	0.103
	耕地 Cropland	0.275 3	0.168 8	78.124 8	1.631	0.107
	林地 Forest	0.207 8	0.184 2	77.402 6	1.128	0.263
	水体 Water	0.279 4	0.184 6	78.400 9	1.514	0.134
3 km	草地 Grassland	0.343 0	0.164 4	79.426 7	2.086	0.040 2*
	居住工业交通 Urban	0.251 9	0.146 4	78.471 5	1.721	0.089 2
	耕地 Cropland	0.246 4	0.147 5	78.569 2	1.670	0.098 8
	林地 Forest	0.185 7	0.160 7	77.988 6	1.156	0.251 2
	水体 Water	0.281 6	0.165 7	79.172 5	1.699	0.093 2
2 km	草地 Grassland	0.235 9	0.139 3	79.422 6	1.693	0.094 3
	居住工业交通 Urban	0.179 4	0.127 7	78.302 7	1.405	0.164 1
	耕地 Cropland	0.175 2	0.127 9	78.244 8	1.370	0.174 7
	林地 Forest	0.134 7	0.141 6	77.857 1	0.952	0.344 3
	水体 Water	0.324 6	0.159 2	80.858 1	2.040	0.044 7*
1 km	草地 Grassland	0.098 1	0.103 5	79.772 3	0.948	0.346 1
	居住工业交通 Urban	0.097 1	0.091 7	79.092 9	1.060	0.292 5
	耕地 Cropland	0.092 3	0.091 0	78.718 3	1.015	0.313 3
	林地 Forest	0.054 7	0.121 4	80.006 2	0.450	0.653 8
	水体 Water	0.262 3	0.112 7	81.581 7	2.328	0.022 4*

尺度Scale	斑块类型Patch type	估计值Estimate	标准误差SE	自由度df	t值t value	P值Pr(>\|t\|)
5 km	草地 Grassland	10.551	5.526	76.312	1.909	0.060 0
	居住工业交通 Urban	10.117	5.356	76.177	1.889	0.062 7
	耕地 Cropland	10.510	5.365	76.243	1.959	0.053 8
	林地 Forest	10.893	5.400	75.918	2.017	0.047 2*
	水体 Water	11.920	5.474	76.670	2.177	0.032 5*